An Approach to Reduce Part of Speech Ambiguity Using Semantically Annotated Lexicon Definitions
Andrei Minc, Tefan Diaconescu · 2013
In computational linguistics, the problem of word-sense disambiguation (WSD) is a difficult one and methods using a flat topology of the tokens are not very effective.One solution to this is to use a Part of Speech (POS) tagger before starting the WSD process.However, POS taggers show their limitations when high precision tagging is required or large texts are processed.This paper presents a technique to reduce the POS ambiguity using semantic information.As benchmarks we use as following standard WSD corpuses: Senseval2, Senseval3 and Semcor.Moreover, we tested our approach on WordNet semantically tagged glosses for English and on our own semantically tagged lexicon glosses for Romanian language.